| Going deeper with convolutions C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 55238 | 2015 |
| Superpoint: Self-supervised interest point detection and description D DeTone, T Malisiewicz, A Rabinovich Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1925 | 2018 |
| Superglue: Learning feature matching with graph neural networks PE Sarlin, D DeTone, T Malisiewicz, A Rabinovich Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1476 | 2020 |
| Parsenet: Looking wider to see better W Liu, A Rabinovich, AC Berg arXiv preprint arXiv:1506.04579, 2015 | 1410 | 2015 |
| Training deep neural networks on noisy labels with bootstrapping S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich arXiv preprint arXiv:1412.6596, 2014 | 1063 | 2014 |
| Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks Z Chen, V Badrinarayanan, CY Lee, A Rabinovich International conference on machine learning, 794-803, 2018 | 1007 | 2018 |
| Objects in context A Rabinovich, A Vedaldi, C Galleguillos, E Wiewiora, S Belongie 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 891 | 2007 |
| Object categorization using co-occurrence, location and appearance C Galleguillos, A Rabinovich, S Belongie 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 630 | 2008 |
| Deep image homography estimation D DeTone, T Malisiewicz, A Rabinovich arXiv preprint arXiv:1606.03798, 2016 | 515 | 2016 |
| Facial recognition with social network aiding D Petrou, A Rabinovich, H Adam US Patent 8,670,597, 2014 | 291 | 2014 |
| Going deeper with convolutions. arXiv 2014 C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... arXiv preprint arXiv:1409.4842 12, 0 | 236 | |
| 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Going deeper with convolutions. in, 2015 | 205 | 2015 |
| Going deeper with convolutions (2014) C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... arXiv preprint arXiv:1409.4842 10, 2014 | 204 | 2014 |
| Roomnet: End-to-end room layout estimation CY Lee, V Badrinarayanan, T Malisiewicz, A Rabinovich Proceedings of the IEEE international conference on computer vision, 4865-4874, 2017 | 181 | 2017 |
| Atlas: End-to-end 3d scene reconstruction from posed images Z Murez, T Van As, J Bartolozzi, A Sinha, V Badrinarayanan, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 177 | 2020 |
| What's cookin'? interpreting cooking videos using text, speech and vision J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy arXiv preprint arXiv:1503.01558, 2015 | 175 | 2015 |
| Unsupervised color decomposition of histologically stained tissue samples A Rabinovich, S Agarwal, C Laris, J Price, S Belongie Advances in neural information processing systems 16, 2003 | 151 | 2003 |
| Toward geometric deep slam D DeTone, T Malisiewicz, A Rabinovich arXiv preprint arXiv:1707.07410, 2017 | 150 | 2017 |
| Weakly supervised object localization with stable segmentations C Galleguillos, B Babenko, A Rabinovich, S Belongie Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 143 | 2008 |
| Estimating depth from rgb and sparse sensing Z Chen, V Badrinarayanan, G Drozdov, A Rabinovich Proceedings of the European Conference on Computer Vision (ECCV), 167-182, 2018 | 118 | 2018 |
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
